Search Results for author: Gosse Bouma

Found 10 papers, 2 papers with code

From Raw Text to Enhanced Universal Dependencies: The Parsing Shared Task at IWPT 2021

no code implementations ACL (IWPT) 2021 Gosse Bouma, Djamé Seddah, Daniel Zeman

We describe the second IWPT task on end-to-end parsing from raw text to Enhanced Universal Dependencies.

POS tagging, lemmatization and dependency parsing of West Frisian

no code implementations16 Jul 2021 Wilbert Heeringa, Gosse Bouma, Martha Hofman, Eduard Drenth, Jan Wijffels, Hans Van de Velde

POS tags were assigned to words by using a Dutch POS tagger that was applied to a literal word-by-word translation, or to sentences of a Dutch parallel text.

Dependency Parsing Lemmatization +2

Overview of the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies

no code implementations WS 2020 Gosse Bouma, Djam{\'e} Seddah, Daniel Zeman

This overview introduces the task of parsing into enhanced universal dependencies, describes the datasets used for training and evaluation, and evaluation metrics.

UDapter: Language Adaptation for Truly Universal Dependency Parsing

1 code implementation EMNLP 2020 Ahmet Üstün, Arianna Bisazza, Gosse Bouma, Gertjan van Noord

The resulting parser, UDapter, outperforms strong monolingual and multilingual baselines on the majority of both high-resource and low-resource (zero-shot) languages, showing the success of the proposed adaptation approach.

Dependency Parsing Transfer Learning

Cross-Lingual Word Embeddings for Morphologically Rich Languages

no code implementations RANLP 2019 Ahmet {\"U}st{\"u}n, Gosse Bouma, Gertjan van Noord

Cross-lingual word embedding models learn a shared vector space for two or more languages so that words with similar meaning are represented by similar vectors regardless of their language.

Translation Word Embeddings

Expletives in Universal Dependency Treebanks

1 code implementation WS 2018 Gosse Bouma, Jan Hajic, Dag Haug, Joakim Nivre, Per Erik Solberg, Lilja {\O}vrelid

Although treebanks annotated according to the guidelines of Universal Dependencies (UD) now exist for many languages, the goal of annotating the same phenomena in a cross-linguistically consistent fashion is not always met.

Coreference Resolution Question Answering

Multi-Layer Discourse Annotation of a Dutch Text Corpus

no code implementations LREC 2012 Gisela Redeker, Ildik{\'o} Berzl{\'a}novich, Nynke van der Vliet, Gosse Bouma, Markus Egg

We have compiled a corpus of 80 Dutch texts from expository and persuasive genres, which we annotated for rhetorical and genre-specific discourse structure, and lexical cohesion with the goal of creating a gold standard for further research.

Text Segmentation

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